Author: Osman, F.M.
Paper Title Page
TUPDP130 PyDM Archive Viewer 892
 
  • Y.G. Yazar, J.J. Bellister, Z.A. Domke, T. Summers
    SLAC, Menlo Park, California, USA
  • F.M. Osman
    Santa Clara University, Santa Clara, California, USA
 
  A new open-source PyQT-based archive viewer ap­pli­ca­tion has been de­vel­oped at SLAC Na­tional Ac­cel­er­a­tor Lab­o­ra­tory. The viewer’s main pur­pose is to vi­su­al­ize both live val­ues and his­tor­i­cal Process Vari­able (PV) data re­trieved from the EPICS Archive Ap­pli­ances. It is de­signed as both a stand-alone ap­pli­ca­tion and to be eas­ily launched from wid­gets on PyDM op­er­a­tor in­ter­faces. In ad­di­tion to pro­vid­ing stan­dard con­fig­ura­bil­ity for things like traces, for­mu­las, style and data ex­port­ing, it pro­vides post-pro­cess­ing ca­pa­bil­i­ties for fil­ter­ing and curve fit­ting. The cur­rent re­lease sup­ports stan­dard enu­mer­ated and ana­log data types as well as wave­forms. Ex­ten­sion of this to sup­port EPICS7 nor­ma­tive data types such as NT­Table and NT­NDAr­ray is under de­vel­op­ment.  
DOI • reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-TUPDP130  
About • Received ※ 06 October 2023 — Revised ※ 22 October 2023 — Accepted ※ 14 December 2023 — Issued ※ 20 December 2023
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